Pendo → Birst
AI-first ETL from Pendo into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into Birst
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Pendo: Product analytics and in-app guidance for SaaS teams.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Pendo entities map to Birst
| Pendo entity | Birst object | Notes |
|---|---|---|
| events | pendo_events | date/time dimensions events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Pendo to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
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Early access
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